UNIT 1:
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Digital image processing system-Fundamental steps in digital image processing
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Structure of human eye, Image formation
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Components of an image processing system
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Brightness adaption and discrimination
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Basic concepts in sampling and quantization, Representing digital images
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Neighbours of a pixel, Adjacency, Connectivity, Regions and Boundaries
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Distance measures, A simple image formation mode
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Image transforms- Properties of 2D DFT,DCT
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SVD transform , Wavelet transform
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SVD transform , Wavelet transform
UNIT 2:
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Image Enhancement: Histogram processing-Histogram equalization
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Matching, Local histogram processing
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Noise models- Inverse filtering
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Geometric transformation
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Image Restoration: A model of image degradation/Restoration process
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Histogram statistics for image enhancement
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Wiener Filtering
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8 Constrained least mean square filtering
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Geometric transformation
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Matching, Local histogram processing
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Smoothing linear filters, Sharpening spatial filters
UNIT 3:
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Image compression: Need for compression
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Huffman Coding, Arithmetic coding
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Run length coding
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Lossy compression – Transform coding
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Wavelet coding
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Line detection, Edge models, Basic edge detection
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Region based segmentation- region growing
